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Research Associate (AI-based Digital Pathology Diagnosis)

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National University of Singapore (NUS)

Kent Ridge Campus

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Research Associate (AI-based Digital Pathology Diagnosis)

Research Associate (Master’s level)

2026-06-13

Location

Kent Ridge Campus

National University of Singapore

Type

Research Staff

Start Date

31/03/2026

Required Qualifications

M.E./M.Sc. degree
AI, machine vision, computer vision
Biological image processing
Scientific writing & communication
Independent researcher & team player

Research Areas

AI-based Digital Pathology
Cancer diagnosis (Lymphoma, Gastric, Colorectal, Breast)
Image processing & computer vision
Mathematical modelling
Whole-slide pathology images
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Research Associate (AI-based Digital Pathology Diagnosis)

Research Associate (AI-based Digital Pathology Diagnosis)

University-Level Unit: Yong Loo Lin School of Medicine

Faculty/Department-Level Unit: Biochemistry

Employee Category: Research Staff

Location: Kent Ridge Campus

Posting Start Date: 31/03/2026

Job Description

Research Associate (Master’s level) positions are available immediately in the Department of Biochemistry, National University of Singapore, in collaboration with the Bioinformatics Institute (BII), A*STAR, under the AI-based Digital Pathology (AiDP) Programme. The programme focuses on the development and validation of advanced AI methodologies, including image processing, computer vision, and mathematical modelling, for cancer diagnosis and prognosis using digitised pathology slides. These include both biopsy specimens and standard whole-slide images.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary!

Qualifications

General Requirements:

  • Highly motivated researcher with an M.E. or M.Sc. degree, eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
  • Independent thinker with a strong passion for advancing the field of AI and biological image processing in clinical diagnosis.
  • Excellent team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
  • Solid general knowledge and understanding of scientific and engineering principles.
  • Exceptional scientific and technical writing skills, coupled with outstanding communication abi

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Frequently Asked Questions

🎓What qualifications are required for the Research Associate AI Digital Pathology role at NUS?

Candidates need a M.E. or M.Sc. degree with strong passion for artificial intelligence, machine vision, computer vision, and biological image processing. Must be an independent thinker, excellent team player, and possess solid scientific knowledge plus exceptional technical writing skills. Explore research assistant jobs for similar roles or tips to thrive in research.

🔬What is the research focus of this AI-based Digital Pathology Diagnosis position?

The role involves developing and validating AI methodologies for cancer diagnosis and prognosis using digitized pathology slides, including biopsy and whole-slide images. Targets diseases like Lymphoma, Gastric, Colorectal, and Breast cancers, addressing data quality, model generalizability, and scalability. Part of the innovative AiDP Programme supported by national funding. Check research jobs for more opportunities.

📍Where is the job located and when does it start?

Positioned at Kent Ridge Campus, National University of Singapore. Positions available immediately, with posting start date 31/03/2026 and application deadline 13/06/2026. Ideal for those seeking Singapore higher ed jobs in biochemistry research.

📝How do I apply for this Research Associate position in Biochemistry?

Click the Apply now link in the job post to submit your application. Prepare a CV highlighting AI and computer vision experience. Collaborate under the Principal Investigator in a dynamic team at Yong Loo Lin School of Medicine. Visit free resume template and cover letter template for application success.

💻What skills and environment can I expect in this AI Pathology role?

Requires passion for AI medical innovation, access to state-of-the-art facilities, high-quality data, and collaboration with top experts from NUS Biochemistry and BII A*STAR. Focus on robust AI systems for faster, accurate diagnoses. Thrive as a team player in a stimulating environment valuing creativity. See research assistant excellence tips (adaptable globally).

🚀Is this role suitable for those new to clinical AI research?

Yes, if you hold a Master’s degree and are highly motivated with foundational knowledge in scientific principles and engineering. Gain experience in cutting-edge digital pathology for cancers, under PI guidance. Perfect for advancing in AI healthcare. Browse clinical research jobs for related paths.

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